PAARS: Privacy Aware Access Regulation System

12/18/2020
by   Md. Monowar Anjum, et al.
0

During pandemics, health officials usually recommend access monitoring and regulation protocols/systems in places that are major activity centres. As organizations adhere to those recommendations, they often fail to implement proper privacy requirements to prevent privacy loss of the users of those protocols or systems. This is a very timely issue as health authorities across the world are increasingly putting these regulations in place to mitigate the spread of the current pandemic. A number of solutions have been proposed to mitigate these privacy issues existing in current models of contact tracing or access regulations systems. However, a prevalent pattern among these solutions are they mainly focus on protecting users privacy from server side and involve Bluetooth based ephemeral identifier exchange between users. Another pattern is all the current solutions try to solve the problem in city-wide or nation-wide level. In this paper, we propose a system, PAARS, which approaches the privacy issues in access monitoring/regulation systems from a micro level. We solve the privacy issues in access monitoring/regulation systems without any exchange of any ephemeral identifiers between users. Moreover, our proposed system provides privacy on both server side and the user side by using secure hashing and differential privacy mechanism.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
06/10/2020

Privacy by Design in Value-Exchange Systems

This article addresses some of the most contentious issues related to pr...
research
10/26/2020

Another Look at Privacy-Preserving Automated Contact Tracing

In the current COVID-19 pandemic, manual contact tracing has been proven...
research
05/20/2020

A Privacy-Preserving Solution for Proximity Tracing Avoiding Identifier Exchanging

Digital contact tracing is one of the actions useful, in combination wit...
research
05/18/2019

Quantifying Differential Privacy of Gossip Protocols in General Networks

In this work, we generalize the study of quantifying the differential pr...
research
10/01/2022

Frequency Estimation of Evolving Data Under Local Differential Privacy

Collecting and analyzing evolving longitudinal data has become a common ...
research
12/04/2020

Verifiable Proof of Health using Public Key Cryptography

In the current pandemic, testing continues to be the most important tool...
research
06/25/2020

Privacy at Facebook Scale

Most organizations today collect data across every facet of their busine...

Please sign up or login with your details

Forgot password? Click here to reset